





from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)



@dataclass
class    __lowerCAmelCase			(     _a	):
			lowerCamelCase_	:	Union[List[PIL.Image.Image], np.ndarray]
			lowerCamelCase_	:	Optional[List[bool]]
			lowerCamelCase_	:	Optional[List[bool]]


try:
	if not (is_transformers_available() and is_torch_available()):
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
	from .pipeline_if import IFPipeline
	from .pipeline_if_imgaimg import IFImgaImgPipeline
	from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
	from .pipeline_if_inpainting import IFInpaintingPipeline
	from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
	from .pipeline_if_superresolution import IFSuperResolutionPipeline
	from .safety_checker import IFSafetyChecker
	from .watermark import IFWatermarker

"""simple docstring"""



import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible






class  snake_case__      (       unittest.TestCase       ):


 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
            "unet/diffusion_pytorch_model.bin",
            # Removed: 'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertFalse(is_safetensors_compatible(lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            # Removed: 'text_encoder/model.safetensors',
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertFalse(is_safetensors_compatible(lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        __a       =    "fp16"
        self.assertTrue(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        __a       =    "fp16"
        self.assertTrue(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)


 def 						a__   ( self						):
        # pass variant but use the non-variant filenames
        __a       =    [
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        __a       =    "fp16"
        self.assertTrue(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
            "unet/diffusion_pytorch_model.fp16.bin",
            # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        __a       =    "fp16"
        self.assertFalse(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)


 def 						a__   ( self						):
        __a       =    [
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
        ]
        __a       =    "fp16"
        self.assertTrue(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)


 def 						a__   ( self						):
        # pass variant but use the non-variant filenames
        __a       =    [
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
        ]
        __a       =    "fp16"
        self.assertTrue(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)






 def 						a__   ( self						):
        __a       =    [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            # 'text_encoder/model.fp16.safetensors',
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        __a       =    "fp16"
        self.assertFalse(is_safetensors_compatible(lowerCamelCase    ,		variant=lowerCamelCase						)						)
